Artículos con órdenes de acceso público - Erik DaxbergerMás información
Disponibles en algún lugar: 5
Laplace Redux--Effortless Bayesian Deep Learning
E Daxberger*, A Kristiadi*, A Immer*, R Eschenhagen*, M Bauer, ...
NeurIPS 2021, 2021
Órdenes: German Research Foundation, UK Engineering and Physical Sciences Research …
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
A Tripp*, E Daxberger*, JM Hernández-Lobato
NeurIPS 2020, 2020
Órdenes: UK Engineering and Physical Sciences Research Council
Bayesian Deep Learning via Subnetwork Inference
E Daxberger, E Nalisnick, JU Allingham, J Antorán, ...
ICML 2021, 2021
Órdenes: UK Engineering and Physical Sciences Research Council
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
J Antorán, D Janz, JU Allingham, E Daxberger, R Barbano, E Nalisnick, ...
ICML 2022, 2022
Órdenes: UK Engineering and Physical Sciences Research Council
Improving Continual Learning by Accurate Gradient Reconstructions of the Past
E Daxberger, S Swaroop, K Osawa, R Yokota, RE Turner, ...
TMLR 2023, 2023
Órdenes: UK Engineering and Physical Sciences Research Council, Japan Science and …
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